Instructions to use 01-ai/Yi-34B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 01-ai/Yi-34B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="01-ai/Yi-34B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("01-ai/Yi-34B") model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-34B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use 01-ai/Yi-34B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "01-ai/Yi-34B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "01-ai/Yi-34B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/01-ai/Yi-34B
- SGLang
How to use 01-ai/Yi-34B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "01-ai/Yi-34B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "01-ai/Yi-34B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "01-ai/Yi-34B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "01-ai/Yi-34B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use 01-ai/Yi-34B with Docker Model Runner:
docker model run hf.co/01-ai/Yi-34B
Model keeps generating
#39
by godaspeg - opened
I am using Yi-34b-chat with config from example :
max_length=2048,
do_sample=True,
repetition_penalty=1.3,
no_repeat_ngram_size=5,
temperature=0.7,
top_k=40,
top_p=0.8,
The model does not stop generating till max_length is reached, at some point the model is generating random tokens. how can i prevent the model from doing that and automatically stop if a question is answered/task is fullfilled?
Same problem!!!
Hi,
- Could you verify the eos_token_id in the generation function? It's set by default in the generation_config, and should be 7.
- I recommend using the default settings for the generation config, particularly the repetition_penalty. Given the presence of numerous special tokens such as stop token "<|im_end|>" in the prompt, they might not be generated anymore due to the penalty.
Hi Kai, thank you so much for your quick answer, using the settings from the Git Repo fixes the bug.
godaspeg changed discussion status to closed